Nonparametric obstruction detection for UWB localization
Name
Marano-2009-Nonparametric obstruction detection for UWB localization.pdf
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209.49 KB
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Checksum (MD5)
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Author(s)
Win, Moe Z.
Gifford, Wesley Michael
Marano, Stefano
Wymeersch, Henk
Date Issued
March 2010
Journal
IEEE Global Telecommunications Conference, 2009. GLOBECOM 2009
Publisher
Institute of Electrical and Electronics Engineers
Citation
Marano, S. et al. “Nonparametric Obstruction Detection for UWB Localization.” Global Telecommunications Conference, 2009. GLOBECOM 2009. IEEE. 2009. 1-6. ©2009 IEEE.
Version
Final published version
Abstract
Ultra-wide bandwidth (UWB) transmission is a promising technology for indoor localization due to its fine delay resolution and obstacle-penetration capabilities. However, the presence of walls and other obstacles introduces a positive bias in distance estimates, severely degrading localization accuracy. We have performed an extensive indoor measurement campaign with FCC-compliant UWB radios to quantify the effect of non-line-of-sight (NLOS) propagation. Based on this campaign, we extract key features that allow us to distinguish between NLOS and LOS conditions. We then propose a nonparametric approach based on support vector machines for NLOS identification, and compare it with existing parametric (i.e., model-based) approaches. Finally, we evaluate the impact on localization through Monte Carlo simulation. Our results show that it is possible to improve positioning accuracy relying solely on the received UWB signal.
MIT Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/GLOCOM.2009.5425460
